BEVFormer
Transform temporal multi‑view images into a unified bird's eye scene.
Bevformer is a SOTA model of interest to the Auto BU.
Not supported
This model is currently not supported on any Automotive chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input preprocessing:Images must be ImageNet mean/std normalized before inference; the model does not normalize internally.
Input resolution:6 x 3 x 480 x 800
Model checkpoint:bevformer_tiny_deformable_optimized_exp_86_epoch_24.pth
Model size:120 MB
Number of parameters:27M
Applicable Scenarios
- Object Detection
License
Model:APACHE-2.0
Supported Automotive Devices
- SA7255P ADP
- SA8255P ADP
- SA8295P ADP
- SA8650P ADP
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P
- Qualcomm® SA8295P
- Qualcomm® SA8650P
- Qualcomm® SA8775P
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